Systems | Development | Analytics | API | Testing

Great to hangout with Noah Learner and Jordan Choo and talk about automation in agency life, with some thoughts around Machine Learning thrown in there too.‍

The UK continues to be a growing hotbed for tech innovation. At Kong, we’re seeing fast adoption for our Kong Enterprise platform in the UK from organizations across a wide range of industries, including e-commerce, financial services, on-demand services and travel/hospitality, among many.

This year has been momentous in Kong’s journey as we have tripled in size, outgrown multiple offices and announced a successful Series C round. Today, we celebrate yet another huge milestone with the news that Forbes has included us in their annual list of Next-Billion Dollar companies. We are honored to receive such recognition and to be on the same list as 24 other ground-breaking companies that I can imagine are as elated as we are right now.

There's been a lot of discussion around the proliferation of data sources in organizations, and for good reason. There are so many ways to consume data now. When I first started working we would send out paper reports. Then Excel came along and we started sending out spreadsheets. Then organizations tried to control things a bit more, so dashboards were created. While there are more new channels to receive data, none of the older ones have become obsolete.

AI and its enabled tools continue to enthrall business with its promise of efficiency and innovation. But, one of the things AI is also clearly enabling is the bias. We’ve all read the news and heard the scaremongering stories around potential flaws and biases in Artificial Intelligence systems. I believe for this technology to reach its full potential, addressing bias will need to be a top priority.

The majority of SaaS businesses lose 1-3% of their customers every month. In this guide, 30 experts share how they keep them onboard for years to come.

Microservices are a type of architectural style for building software that has been gaining popularity. The concept was first introduced at a tech conference in 2011 and has been adopted by many Agile enterprises such as Netflix, Amazon, Uber, SoundCloud, Groupon, eBay, to name a few. So, what are microservices? What are the benefits of microservices? And why are so many large enterprises have been implementing this method into their DevOps and continuous testing strategies?

As we grow our footprint globally, we’re gaining strong momentum in the UK. We recently added several fast-growing, London-based organizations to the Kong Enterprise community. These organizations are turning to Kong to help power their core business applications and accelerate application development as they shift to microservices-driven architectures.

Discover the 35 off-page SEO techniques that nearly 100 marketers use to build domain authority, earn backlinks, and drive more traffic to their sites.

So far, in our blog series Data Integration Best practices, we have covered the different types of high-level and low-level problems occurring in data integration projects. We have also addressed the different types of integration, the systems that move data and even the pricing aspect of such a project. Ten articles later, we arrived at best practices moving forward. In this last chapter, we are going to talk about some tips that revolve around preparing for and running an integration project.